India Job Openings
Tesseract Imaging
Associate Director of Artificial Intelligence - XR
September 15, 2024
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AI Strategy and Roadmap
- Define and drive the organization’s AI strategy, ensuring it aligns with business objectives and goals.
- Identify key opportunities where AI and machine learning can create value across different business units.
- Stay up to date on AI trends and emerging technologies to inform and shape the strategy.
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Leadership and Team Management
- Lead and mentor a team of data scientists, machine learning engineers, AI researchers, and software developers.
- Foster a culture of collaboration, innovation, and continuous learning within the AI team.
- Ensure the team follows best practices in AI and machine learning, from model development to deployment.
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AI Development and Execution
- Oversee the design, development, and deployment of AI models, ensuring accuracy, scalability, and relevance to business needs.
- Collaborate with cross-functional teams (engineering, product, R&D) to integrate AI solutions into products and services.
- Ensure AI initiatives are delivered on time, within budget, and meet performance expectations.
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Research and Innovation
- Spearhead AI research projects to explore new AI methodologies and applications.
- Collaborate with external research institutes, universities, and AI communities to leverage cutting-edge innovations.
- Drive proof-of-concept (Po C) projects to explore new AI models and validate potential business benefits.
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Data Strategy and Governance
- Ensure that AI models are trained on high-quality, relevant data, and that data privacy and security measures are in place.
- Work with the data engineering team to establish robust data pipelines and infrastructure for machine learning applications.
- Implement ethical guidelines and governance frameworks for responsible AI use, minimizing bias and ensuring compliance with regulations.
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Business Impact and Reporting
- Monitor and measure the success of AI initiatives, using KPIs and performance metrics to assess ROI and impact on the business.
- Prepare reports for the executive team on the progress and impact of AI initiatives.
- Identify areas for process optimization and business growth through AI-driven insights.
- Strong knowledge, and understanding of the Gen AI models, algorithms, and techniques - Open AI, LLa MA, Claude, Palm, LLMs, how to deploy them on cloud/ on-premises and use APIs to build Industry solutions.
- Experienced in implementing, and optimizing generative models for various applications such as text generation, image synthesis, and data augmentation.
- Experienced in using frameworks like Lang Chain, Llama index, and Semantic Kernel.
- Experienced in working on concepts like RAG, and Model Tuning.
- Participate actively in the AI training program, absorbing, and applying knowledge on generative AI models, algorithms, and techniques.
- Collaborate with team members to understand and solve complex AI problems.
- Use analytical and problem-solving skills to troubleshoot, debug, and improve solutions built with AI models and algorithms.
- Assist in the development and implementation of AI projects under the guidance of senior engineers.
- Continuously learn about new AI technologies and trends to stay updated and bring innovative ideas to the team.
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